HP HP EliteBook X G1i 14 inch Notebook Next Gen AI PC
Geekbench AI Score
2734
Single Precision Score
24256
Half Precision Score
43632
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | March 26 2026 02:41 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | HP HP EliteBook X G1i 14 inch Notebook Next Gen AI PC |
| Motherboard | HP 8D84 |
| Power Plan | UoA-Power Plan-Peak-15 min sleep |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 238V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1691
314.4 IPS |
|
|
Image Classification (HP)
|
100% |
14303
2.66 KIPS |
|
|
Image Classification (Q)
|
100% |
21627
4.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1835
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
14583
236.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
26580
430.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2918
3.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
82505
96.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
196857
230.6 IPS |
|
|
Object Detection (SP)
|
100% |
1620
128.5 IPS |
|
|
Object Detection (HP)
|
100% |
14422
1.14 KIPS |
|
|
Object Detection (Q)
|
88% |
25432
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4821
57.3 IPS |
|
|
Face Detection (HP)
|
100% |
42922
510.0 IPS |
|
|
Face Detection (Q)
|
100% |
86635
1.03 KIPS |
|
|
Depth Estimation (SP)
|
100% |
4180
32.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
65088
503.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
149093
1.16 KIPS |
|
|
Style Transfer (SP)
|
100% |
8641
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
197250
253.6 IPS |
|
|
Style Transfer (Q)
|
98% |
354781
457.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1781
65.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24114
890.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
63419
2.35 KIPS |
|
|
Text Classification (SP)
|
100% |
1806
2.41 KIPS |
|
|
Text Classification (HP)
|
100% |
3154
4.21 KIPS |
|
|
Text Classification (Q)
|
92% |
3318
4.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
2849
49.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6779
116.8 IPS |
|
|
Machine Translation (Q)
|
100% |
9011
155.2 IPS |
